labels.searchlog_log_type_search_zeroclick=Zero Click Count
labels.searchlog_log_type_search_count_hour=Search Count/Hour
labels.searchlog_log_type_search_count_day=Search Count/Day
labels.searchlog_log_type_search_user_hour=User Count/Hour
labels.searchlog_log_type_search_user_day=User Count/Day
labels.searchlog_log_type_search_reqtimeavg_hour=Request Average Time/Hour
labels.searchlog_log_type_search_reqtimeavg_day=Request Average Time/Day

## Status

- ACCEPTED on 2023-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

        try {
            IntervalControlHelper.parseTime("24:00");
            fail("Should throw FessSystemException");
        } catch (FessSystemException e) {
            assertEquals("Invalid hour value: 24 in time: 24:00. Hour must be between 0 and 23", e.getMessage());
        }

        try {
            IntervalControlHelper.parseTime("12:60");
            fail("Should throw FessSystemException");

a","antigua and barbuda","argentina","armenia","aruba","australia","austria","azerbaijan","bahamas","bahrain","bangladesh","barbados","belarus","belgium","belize","benin","bermuda","bhutan","bolivia","bonaire","bosnia and herzegovina","botswana","bouvet island","brazil","british indian ocean territory","brunei darussalam","bulgaria","burkina faso","burundi","cabo verde","cambodia","cameroon","canada","cayman islands","central african republic","chad","chile","china","christmas island","cocos isl...

## Context

Our codebase uses `null` extensively to represent an absence of value or optionality of the argument.
We utilize nullness annotations in Java code and somewhat rely on IDE warnings to guide us.
However, the Java code we have is not fully annotated, which causes several consequences:
* IDE warnings can be misleading
* Redundant null checks may increase binary size, hurt performance, and increase cognitive load for readers

labels.data_crawling_button_create_job=Créer une nouvelle tâche
labels.wizard_title_configuration=Assistant de configuration
labels.wizard_start_title=Configuration facile
labels.wizard_start_desc=Vous pouvez créer facilement un paramètre d'exploration à l'aide de l'assistant de configuration.
labels.wizard_start_button=Démarrer la configuration
labels.wizard_button_cancel=Annuler

     */
    public static class IntervalRule {
        /** Starting hour of the interval */
        protected int fromHours;

        /** Starting minute of the interval */
        protected int fromMinutes;

        /** Ending hour of the interval */
        protected int toHours;

        /** Ending minute of the interval */
        protected int toMinutes;

    private static final Logger logger = LogManager.getLogger(RelatedQueryHelper.class);

    /**
     * Map storing related queries organized by virtual host key and search term.
     * The outer map key is the virtual host key, the inner map key is the search term
     * (in lowercase), and the value is an array of related query strings.
     */

                                dayOfWeek = ScheduleTrigger.DAY.Saturday
                                hour = 1
                            }
                    } else {
                        schedulingPolicy =
                            daily {
                                hour = 0
                                minute = 30
                            }
                    }

    }

    @Test
    public void test_stackTraceWithCause() {
        // Test that stack trace is properly preserved with cause
        String innerMessage = "Inner exception";
        String outerMessage = "Outer exception";
        RuntimeException innerException = new RuntimeException(innerMessage);
        StorageException exception = new StorageException(outerMessage, innerException);